http://rdf.ncbi.nlm.nih.gov/pubchem/reference/18833878

Outgoing Links

Predicate Object
contentType Journal Article|Research Support, Non-U.S. Gov't
endingPage 1356
issn 1052-3057
issueIdentifier 6
pageRange 1351-1356
publicationName Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
startingPage 1351
bibliographicCitation Fan X, Xu M, Zhang Y, Zhang M. The Application of Ultrasonic Velocity Vector Imaging Technique of Carotid Plaque in Predicting Large-Artery Atherosclerotic Stroke. Journal of Stroke and Cerebrovascular Diseases. 2015 Jun;24(6):1351–6. doi: 10.1016/j.jstrokecerebrovasdis.2015.02.011.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_22f4851775f9a7a1b41ea5d848b0324c
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bc1dc1abfd6bc945694aa102a20c0e8e
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d289c80337f0022343615134caa09291
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_9137fe389d3788dfc8786b5f58f9a09a
date 201506
identifier https://pubmed.ncbi.nlm.nih.gov/25797431
https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.02.011
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/32751
https://portal.issn.org/resource/ISSN/1052-3057
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title The Application of Ultrasonic Velocity Vector Imaging Technique of Carotid Plaque in Predicting Large-Artery Atherosclerotic Stroke
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D020521Q000000981
http://id.nlm.nih.gov/mesh/D016893Q000000981
http://id.nlm.nih.gov/mesh/D058226Q000000981
hasSubjectTerm http://id.nlm.nih.gov/mesh/D016893Q000503
http://id.nlm.nih.gov/mesh/D001794Q000502
http://id.nlm.nih.gov/mesh/D008297
http://id.nlm.nih.gov/mesh/D020521Q000503
http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D058226Q000503
http://id.nlm.nih.gov/mesh/D000368
http://id.nlm.nih.gov/mesh/D004452
http://id.nlm.nih.gov/mesh/D005260
http://id.nlm.nih.gov/mesh/D001783Q000502
http://id.nlm.nih.gov/mesh/D008875
http://id.nlm.nih.gov/mesh/D014465
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID10602
http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID10898

Total number of triples: 38.